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[TIP 2022] Towards Better Accuracy-efficiency Trade-offs: Divide and Co-training. Plus, an image classification toolbox includes ResNet, Wide-ResNet, ResNeXt, ResNeSt, ResNeXSt, SENet, Shake-Shake, DenseNet, PyramidNet, and EfficientNet.

License: Apache License 2.0

Python 96.90% Shell 3.10%
splitnet image-classification deep-ensemble cifar efficientnet imagenet

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divide-and-co-training's Issues

Questions about results on ImageNet dataset

Hi,

Good works!
I am reading the paper and finding that table 4 is kind of confusing. May I ask why the accuracies of M_i sometimes are greater than(or equals to)the full model (WRN-50-2, EfficientNet-B7)?

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